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Cancer Functional Genomics Unit, Murdoch Childrens Research Institute, 10th Floor Royal Childrens Hospital, Parkville, Victoria 3052, Australia [T. B., D. J. V.]; Department of Pathology, The University of Melbourne, Victoria 3010, Australia [M. C. S., J. E. A., D. J. V.]; Molecular Pathology Laboratory, Victorian Breast Cancer Research Consortium, Australia [J. E. A.]; Department of Surgery, St Vincents Hospital, Fitzroy, Victoria 3065, Australia [M. A. H.]; Childrens Medical Research Institute, Westmead, Sydney, NSW 2145, Australia [A. C. C., R. R. R.]; and Eos Biotechnology, South San Francisco, California 94080 [D. W., R. G.]
Differences in gene expression are likely to explain the phenotypic variation between hormone-responsive and hormone-unresponsive breast cancers. In this study, DNA microarray analysis of
10,000 known genes and 25,000 expressed sequence tag clusters was performed to identify genes induced by estrogen and repressed by the pure antiestrogen ICI 182 780 in vitro that correlated with estrogen receptor (ER) expression in primary breast carcinomas in vivo. Stanniocalcin (STC) 2 was identified as one of the genes that fulfilled these criteria. DNA microarray hybridization showed a 3-fold induction of STC2 mRNA expression in MCF-7 cells in
3 h of estrogen exposure and a 3-fold repression in the presence of antiestrogen (one-way ANOVA, P < 0.0005). In 13 ER-positive and 12 ER-negative breast carcinomas, the microarray-derived mRNA levels observed for STC2 correlated with tumor ER mRNA (Pearsons correlation, r = 0.85; P < 0.0001) and ER protein status (Spearmans rank correlation, r = 0.73; P < 0.0001). The expression profile of STC2 was further confirmed by in situ hybridization and immunohistochemistry on a larger cohort of 236 unselected breast carcinomas using tissue microarrays. STC2 mRNA and protein expression were found to be associated with tumor ER status (Fishers exact test, P < 0.005). The related gene, STC1, was also examined and shown to be associated with ER status in breast carcinomas (Fishers exact test, P < 0.05). This study demonstrates the feasibility of using global gene expression data derived from an in vitro model to pinpoint novel estrogen-responsive genes of potential clinical relevance.
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